Exploring the Role of AI in Enhancing Global Supply Chain Resilience
Venugopal, Parvathi (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025061122275
https://urn.fi/URN:NBN:fi:amk-2025061122275
Tiivistelmä
In an era of increasing complexity and unpredictability in global markets, supply chain resilience has become a paramount concern for organizations across various sectors. Traditional supply chain management approaches have often fallen short in addressing disruptions caused by events such as pandemics, geopolitical tensions, and natural disasters. This study exploring the potential of Artificial Intelligence (AI) to enhance supply chain resilience by enabling real-time decision-making, increasing operational flexibility, and supporting proactive risk management.
Grounded in theoretical frameworks such as the Resource-Based View, Dynamic Capabilities Theory, and the Socio-Technical Systems Perspective, this research employs a qualitative methodology, utilizing semi-structured interviews and case study analysis. Data collected from leading firms in e-commerce, logistics, telecommunications, and manufacturing, providing comprehensive insights into the practical application of AI in diverse organizational settings.
Th The findings indicate that AI significantly improves forecasting accuracy, supply chain visibility, and the speed of response to unforeseen events. Nonetheless, challenges related to data integration, organizational resistance to change, and ethical considerations remain prevalent. The study concludes that even though AI is not a universal solution, its thoughtful integration into supply chain operations is essential for developing robust, adaptable, and future-ready supply networks.
Grounded in theoretical frameworks such as the Resource-Based View, Dynamic Capabilities Theory, and the Socio-Technical Systems Perspective, this research employs a qualitative methodology, utilizing semi-structured interviews and case study analysis. Data collected from leading firms in e-commerce, logistics, telecommunications, and manufacturing, providing comprehensive insights into the practical application of AI in diverse organizational settings.
Th The findings indicate that AI significantly improves forecasting accuracy, supply chain visibility, and the speed of response to unforeseen events. Nonetheless, challenges related to data integration, organizational resistance to change, and ethical considerations remain prevalent. The study concludes that even though AI is not a universal solution, its thoughtful integration into supply chain operations is essential for developing robust, adaptable, and future-ready supply networks.